Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget

A standardized approach for the definition, propagation, and reporting of uncertainty in the ozone differential absorption lidar data products contributing to the Network for the Detection for Atmospheric Composition Change (NDACC) database is proposed. One essential aspect of the proposed approach...

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Main Authors: T. Leblanc, R. J. Sica, J. A. E. van Gijsel, S. Godin-Beekmann, A. Haefele, T. Trickl, G. Payen, G. Liberti
Format: Article
Language:English
Published: Copernicus Publications 2016-08-01
Series:Atmospheric Measurement Techniques
Online Access:http://www.atmos-meas-tech.net/9/4051/2016/amt-9-4051-2016.pdf
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author T. Leblanc
R. J. Sica
J. A. E. van Gijsel
S. Godin-Beekmann
A. Haefele
T. Trickl
G. Payen
G. Liberti
author_facet T. Leblanc
R. J. Sica
J. A. E. van Gijsel
S. Godin-Beekmann
A. Haefele
T. Trickl
G. Payen
G. Liberti
author_sort T. Leblanc
collection DOAJ
description A standardized approach for the definition, propagation, and reporting of uncertainty in the ozone differential absorption lidar data products contributing to the Network for the Detection for Atmospheric Composition Change (NDACC) database is proposed. One essential aspect of the proposed approach is the propagation in parallel of all independent uncertainty components through the data processing chain before they are combined together to form the ozone combined standard uncertainty. <br><br> The independent uncertainty components contributing to the overall budget include random noise associated with signal detection, uncertainty due to saturation correction, background noise extraction, the absorption cross sections of O<sub>3</sub>, NO<sub>2</sub>, SO<sub>2</sub>, and O<sub>2</sub>, the molecular extinction cross sections, and the number densities of the air, NO<sub>2</sub>, and SO<sub>2</sub>. The expression of the individual uncertainty components and their step-by-step propagation through the ozone differential absorption lidar (DIAL) processing chain are thoroughly estimated. All sources of uncertainty except detection noise imply correlated terms in the vertical dimension, which requires knowledge of the covariance matrix when the lidar signal is vertically filtered. In addition, the covariance terms must be taken into account if the same detection hardware is shared by the lidar receiver channels at the absorbed and non-absorbed wavelengths. <br><br> The ozone uncertainty budget is presented as much as possible in a generic form (i.e., as a function of instrument performance and wavelength) so that all NDACC ozone DIAL investigators across the network can estimate, for their own instrument and in a straightforward manner, the expected impact of each reviewed uncertainty component. In addition, two actual examples of full uncertainty budget are provided, using nighttime measurements from the tropospheric ozone DIAL located at the Jet Propulsion Laboratory (JPL) Table Mountain Facility, California, and nighttime measurements from the JPL stratospheric ozone DIAL located at Mauna Loa Observatory, Hawai'i.
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spelling doaj.art-4b14b0b8b688482a9b615542af6a17922022-12-22T00:26:34ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482016-08-01984051407810.5194/amt-9-4051-2016Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budgetT. Leblanc0R. J. Sica1J. A. E. van Gijsel2S. Godin-Beekmann3A. Haefele4T. Trickl5G. Payen6G. Liberti7Jet Propulsion Laboratory, California Institute of Technology, Wrightwood, CA 92397, USADepartment of Physics and Astronomy, The University of Western Ontario, London, CanadaRoyal Netherlands Meteorological Institute (KNMI), Bilthoven, the NetherlandsLATMOS-IPSL, CNRS-INSU, Paris, FranceMeteoswiss, Payerne, SwitzerlandKarlsruher Institut für Technologie, IMK-IFU, Garmisch-Partenkirchen, GermanyObservatoire des Sciences de l'Univers de La Réunion, CNRS and Université de la Réunion (UMS3365), Saint Denis de la Réunion, FranceISAC-CNR, Via Fosso del Cavaliere 100, 00133 Rome, ItalyA standardized approach for the definition, propagation, and reporting of uncertainty in the ozone differential absorption lidar data products contributing to the Network for the Detection for Atmospheric Composition Change (NDACC) database is proposed. One essential aspect of the proposed approach is the propagation in parallel of all independent uncertainty components through the data processing chain before they are combined together to form the ozone combined standard uncertainty. <br><br> The independent uncertainty components contributing to the overall budget include random noise associated with signal detection, uncertainty due to saturation correction, background noise extraction, the absorption cross sections of O<sub>3</sub>, NO<sub>2</sub>, SO<sub>2</sub>, and O<sub>2</sub>, the molecular extinction cross sections, and the number densities of the air, NO<sub>2</sub>, and SO<sub>2</sub>. The expression of the individual uncertainty components and their step-by-step propagation through the ozone differential absorption lidar (DIAL) processing chain are thoroughly estimated. All sources of uncertainty except detection noise imply correlated terms in the vertical dimension, which requires knowledge of the covariance matrix when the lidar signal is vertically filtered. In addition, the covariance terms must be taken into account if the same detection hardware is shared by the lidar receiver channels at the absorbed and non-absorbed wavelengths. <br><br> The ozone uncertainty budget is presented as much as possible in a generic form (i.e., as a function of instrument performance and wavelength) so that all NDACC ozone DIAL investigators across the network can estimate, for their own instrument and in a straightforward manner, the expected impact of each reviewed uncertainty component. In addition, two actual examples of full uncertainty budget are provided, using nighttime measurements from the tropospheric ozone DIAL located at the Jet Propulsion Laboratory (JPL) Table Mountain Facility, California, and nighttime measurements from the JPL stratospheric ozone DIAL located at Mauna Loa Observatory, Hawai'i.http://www.atmos-meas-tech.net/9/4051/2016/amt-9-4051-2016.pdf
spellingShingle T. Leblanc
R. J. Sica
J. A. E. van Gijsel
S. Godin-Beekmann
A. Haefele
T. Trickl
G. Payen
G. Liberti
Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget
Atmospheric Measurement Techniques
title Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget
title_full Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget
title_fullStr Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget
title_full_unstemmed Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget
title_short Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget
title_sort proposed standardized definitions for vertical resolution and uncertainty in the ndacc lidar ozone and temperature algorithms part 2 ozone dial uncertainty budget
url http://www.atmos-meas-tech.net/9/4051/2016/amt-9-4051-2016.pdf
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